DORA, the AI Act & Risk Management: From Compliance Burden to Competitive Strength

Regulation is often perceived as a necessary burden costly, rigid, and operationally demanding. However, looking toward 2026 and beyond, new EU regulations such as the Digital Operational Resilience Act (DORA) and the EU AI Act are fundamentally reshaping how financial institutions manage risk, operate digital infrastructures, and deploy artificial intelligence. Increasingly, these frameworks are not only about compliance, but about building the foundations for competitiveness.

The Regulatory Challenge

DORA has completed its rollout and is now fully in force. It requires financial entities to strengthen digital operational resilience across ICT systems through harmonised standards. Despite this, surveys indicate that many institutions are still struggling with preparedness. Only a small proportion have successfully translated DORA requirements into business-as-usual processes, while the majority lack mature data governance structures or robust risk quantification frameworks.

This disconnect reflects a broader issue: regulation is frequently approached as a checkbox exercise rather than as a strategic enabler embedded into day-to-day operations.

At the same time, the EU AI Act introduces a risk-based approach to AI governance. It places clear requirements on explainability, data quality controls, and accountability particularly for so-called “high-risk” AI systems. These systems are commonly used in areas such as credit decisioning, compliance functions, and automated customer services, making their governance a critical concern for financial institutions.

Governance as a Strategic Advantage

The current regulatory environment increasingly favours institutions that embed governance by design rather than relying on after-the-fact controls. This approach involves integrating risk and compliance frameworks directly into technology stacks and data pipelines.

Doing so enables institutions to ensure transparency and auditability across AI models, harmonise oversight of ICT suppliers, and link operational resilience more closely to business continuity and customer trust. Institutions that go further and position compliance as a source of competitive differentiation by demonstrating resilience, transparency, and trustworthiness can strengthen their credibility with regulators, partners, and customers alike.

From Compliance to Resilience

To realise these benefits, institutions must shift their mindset and operating model. DORA and the AI Act should be treated as roadmaps for building robust digital operations, rather than as isolated regulatory obligations. Embedding governance into AI and data frameworks can reduce audit risk while improving the reliability of models in production.

Equally important is the integration of supplier risk management and data lineage capabilities. Effective oversight of third-party ICT providers helps minimise systemic vulnerabilities and strengthens overall operational resilience. Clear and rigorous communication both internally and externally further reinforces trust, signalling strong risk management practices to customers and partners.

Closing Perspective

Regulations such as DORA and the EU AI Act are not obstacles to overcome. When implemented thoughtfully, they function as tactical frameworks that strengthen institutions, enhance trust, and reduce enterprise risk. In this context, compliance becomes not just an obligation, but a driver of resilience and long-term competitive strength.